Workshop on Trustworthy Algorithmic Decision-Making

The Workshop on Trustworthy Algorithmic Decision-Making seeks to bring together scholars to identify future research
opportunities and suggests plans and research ideas for making the use of algorithms in society more trustworthy.

Overview

Computer-based algorithms are increasingly being used in systems that automatically make important decisions on behalf
of people, including determining what news people see online, controlling speed and steering of cars, choosing prices
for goods and services, filtering job applicants, recognizing and categorizing airport travelers, and making sentencing
recommendations for people convicted of crimes. As these algorithms simultaneously become more common and more
complicated, it is important to understand whether they can be trusted to make decisions like these, what makes
algorithms trustworthy, and how algorithms can be made more trustworthy.

Fundamentally, these algorithms operate in a complicated socio-technical context that includes the designers of the
algorithms, the data used as an input to the algorithms, the interface that presents and uses the outputs, the people
who make choices about goals of algorithms and when to use algorithms, and societal laws and norms that influence their
use. All aspects of this context influence the outputs of the algorithms, and also impact whether they are worthy of
being trusted to make important decisions.

This workshop will bring together scholars from a variety of disciplines and backgrounds for a 2-day working session in
the Washington DC area. The primary goal of this workshop is to develop ideas that will further define the problem
space, the key problems and the critical questions that need to be answered to make progress toward understanding,
developing, and evaluating trustworthy algorithmic decision-making. A report on future challenges and opportunities will
be produced and made available after the workshop.